Correct way of computing dice score for image segmentation?

Question

Correct way of computing dice score for image segmentation?

spb

2022年3月23日 03:02

In binary image segmentation, for given a set of images, it's true mask and predicted mask. How do you compute dice score? Should I compute the dice score for each image separately and then find mean across all images? Or compute the dice score for all images at once by flattening tensor? Which is the correct way?

Topic semantic-segmentation image-segmentation convolutional-neural-network computer-vision deep-learning

Category Data Science

Rakshit Kothari · Accepted Answer · 2021年6月9日 17:47

The correct way is to compute the DICE score per image and then find the mean, median and STD across all test images. It is good practice to report all three metrics to provide a clear intuition to the reader.

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Correct way of computing dice score for image segmentation?

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